198-30: Guidelines for Selecting the Covariance Structure ...

SUGI 30 Statistics and Data Analysis Paper 198-30. Guidelines for Selecting the Covariance Structure in Mixed model Analysis Chuck Kincaid, COMSYS Information Technology Services, Inc., Portage, MI. INTRODUCTION. Mixed Models is rapidly becoming a very useful tool for statisticians. As a general paradigm it can be used to handle almost every situation, especially if you extend the Linear Mixed model to the Generalized Linear Mixed model case or the Nonlinear Mixed model case. It's also an area in which a lot of research is being done, because the questions are far from being answered. Advanced computing power is giving us the capability to answer those questions. One important question which, unfortunately, still has no good answer is how to select the Covariance Structure .

Mixed Models is rapidly becoming a very useful tool for statisticians. As a general paradigm it can be used to handle ... ε ε ε ε ε im is a vector of measurements taken at m equally spaced time points. The measurements each come from a normal distribution with covariance matrix ... Autoregressive(1) 2 i j ij

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  Model, Structure, Vector, Covariance, Autoregressive, Covariance structure

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